Contextlattice
ContextLattice is a private-by-default memory and context orchestration system for AI agents.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 91 of 226
ContextLattice is a private-by-default memory and context orchestration system for AI agents.
A Model Context Protocol (MCP) server that connects AI assistants to the Financial Modeling Prep API, exposing over 250 financial data tools.
MCP-X Agent is an open-source MCP Host Desktop Application that seamlessly integrates with any LLMs supporting function calling capabilities.
Unity MCP 統合フレームワーク connects the Unity Editor to AI language models like Claude or to CLI (curl) via HTTP, using the Model Context Protocol…
Translate PDFs, scans and phone photos of documents (payslips, bank statements, certificates, official letters) into another language and get the same...
LMStudio-MCP is a Model Context Protocol (MCP) server that bridges Claude with locally running LLM models via LM Studio.
# Tunetank MCP Server **The Tunetank music & sound‑effects catalog as an [MCP](https://modelcontextprotocol.io) server** — so any AI assistant (Claude, ChatGPT, Cursor, …) can…
Convert HTML or a URL to PDF, PNG, JPEG or WebP from any MCP client. It can also render saved HTML templates and check…
EShopLite is a set of reference .NET applications that implement an eCommerce site with features such as Semantic Search, Model Context Protocol…
Log Analyzer with MCP is a Model Context Protocol (MCP) server that gives AI assistants access to AWS CloudWatch Logs for analysis, searching, and…
# twiceshy > Once bitten, twice shy. A self-hosted service that feeds hard-won engineering experience — issues, dead-ends, root causes, validated fixes — to…
ReversecoreMCP is an enterprise-grade Model Context Protocol server that transforms AI assistants like Claude and Cursor into expert-level security…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.